Pedestrian detection and tracking in infrared imagery using shape and appearance

[1]  Chatchai Suppitaksakul.  Pedestrian detection and tracking , 2006 .

[2]  José M. F. Moura,et al.  Ieee Transactions on Image Processing 1 Figure–ground Segmentation from Occlusion Ieee Transactions on Image Processing , 2004 .

[3]  Xin Li,et al.  Layered Representation for Pedestrian Detection and Tracking in Infrared Imagery , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[4]  Bernt Schiele,et al.  Pedestrian detection in crowded scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[5]  Xia Liu,et al.  Pedestrian detection and tracking with night vision , 2005, IEEE Transactions on Intelligent Transportation Systems.

[6]  James W. Davis,et al.  A Two-Stage Template Approach to Person Detection in Thermal Imagery , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

[7]  Atreyi Kankanhalli,et al.  Automatic partitioning of full-motion video , 1993, Multimedia Systems.

[8]  Noboru Yasuda,et al.  Pedestrian Detection and Tracking in Far Infrared Images , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[9]  Swarup Medasani,et al.  Classifier Swarms for Human Detection in Infrared Imagery , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[10]  D.M. Gavrila,et al.  Vision-based pedestrian detection: the PROTECTOR system , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[11]  William Rucklidge,et al.  Efficiently Locating Objects Using the Hausdorff Distance , 1997, International Journal of Computer Vision.

[12]  Paul A. Viola,et al.  Detecting Pedestrians Using Patterns of Motion and Appearance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[13]  Keiichi Yamada,et al.  Comparison between infrared-image-based and visible-image-based approaches for pedestrian detection , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[14]  L. Davis,et al.  Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002, Proc. IEEE.

[15]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[16]  Jan Giebel,et al.  Shape-based pedestrian detection and tracking , 2002, Intelligent Vehicle Symposium, 2002. IEEE.

[17]  Larry S. Davis,et al.  Probabilistic template based pedestrian detection in infrared videos , 2002, Intelligent Vehicle Symposium, 2002. IEEE.

[18]  I. Haritaoglu,et al.  Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002 .

[19]  Hai Tao,et al.  Object Tracking with Bayesian Estimation of Dynamic Layer Representations , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Brendan J. Frey,et al.  Learning flexible sprites in video layers , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[21]  Tomaso A. Poggio,et al.  Example-Based Object Detection in Images by Components , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Ioannis A. Kakadiaris,et al.  Model-Based Estimation of 3D Human Motion , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Larry S. Davis,et al.  Pedestrian tracking from a moving vehicle , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[24]  Massimo Bertozzi,et al.  Shape-based pedestrian detection , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[25]  Xavier Binefa,et al.  Robust Real-Time Periodic Motion Detection, Analysis, and Applications , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[26]  Larry S. Davis,et al.  W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[27]  Ali Shokoufandeh,et al.  Graph-Theoretical Methods in Computer Vision , 2000, Theoretical Aspects of Computer Science.

[28]  Ulrich Eckhardt,et al.  Shape descriptors for non-rigid shapes with a single closed contour , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[29]  Yang Song,et al.  Towards detection of human motion , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[30]  Andrew Blake,et al.  Articulated body motion capture by annealed particle filtering , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[31]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[32]  Liang Zhao,et al.  Stereo- and neural network-based pedestrian detection , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).

[33]  Dariu Gavrila,et al.  The Issues , 2011 .

[34]  Tomaso A. Poggio,et al.  A general framework for object detection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[35]  Bonnie L. Webber,et al.  TraumaTIQ: Online Decision Support for Trauma Management , 1998, IEEE Intell. Syst..

[36]  Tomaso A. Poggio,et al.  Pedestrian detection using wavelet templates , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[37]  Takeo Kanade,et al.  Neural network-based face detection , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[38]  Alex Pentland,et al.  Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[39]  Harpreet S. Sawhney,et al.  Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding , 1995, Proceedings of IEEE International Conference on Computer Vision.

[40]  Daniel P. Huttenlocher,et al.  Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[41]  Edward H. Adelson,et al.  Layered representation for motion analysis , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[42]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[43]  Edward H. Adelson,et al.  A multiresolution spline with application to image mosaics , 1983, TOGS.

[44]  S. Chow,et al.  Flir image enhancement by automatic low frequency gain limiting , 1978 .

[45]  C. D. Kuglin,et al.  The phase correlation image alignment method , 1975 .